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Colabng
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twitter_bank_scam_classifier

Text Classification
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bert
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Colabng/twitter_bank_scam_classifier

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Files changed (6) hide show
  1. README.md +5 -5
  2. adapter_config.json +1 -1
  3. adapter_model.safetensors +1 -1
  4. runs/Sep06_21-28-43_tochukwus-MacBook-Pro.local/events.out.tfevents.1757190523.tochukwus-MacBook-Pro.local +3 -0
  5. runs/Sep06_21-30-35_tochukwus-MacBook-Pro.local/events.out.tfevents.1757190635.tochukwus-MacBook-Pro.local +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7309
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- - Accuracy: 0.55
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- - Auc: 0.53
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  ## Model description
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@@ -53,8 +53,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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- | 0.6939 | 1.0 | 11 | 0.7180 | 0.59 | 0.53 |
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- | 0.6132 | 2.0 | 22 | 0.7309 | 0.55 | 0.53 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8615
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+ - Accuracy: 0.59
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+ - Auc: 0.56
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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+ | 0.6741 | 1.0 | 11 | 0.8638 | 0.59 | 0.55 |
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+ | 0.5976 | 2.0 | 22 | 0.8615 | 0.59 | 0.56 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -28,8 +28,8 @@
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  "target_modules": [
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  "query",
 
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  "key"
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  "task_type": "SEQ_CLS",
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
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  "query",
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+ "value",
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  "key"
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  ],
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  "task_type": "SEQ_CLS",
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